基于改进动态克隆选择算法的入侵检测研究  

The research of intrusion detection based on improved dynamic clonal selection algorithm

作　　者：孙端[1] 姜梅[1] 

机构地区：[1]青岛理工大学计算机工程学院

出　　处：《微计算机信息》2009年第33期80-81,75,共3页Control & Automation

摘　　要：本文将生物免疫的思想引入到入侵检测研究中,提出一种改进的动态克隆选择算法,并基于改进动态克隆选择算法,构建了的入侵检测模型。该模型具多样性和自适应性,并且能够有效检测出未知攻击行为。实验结果表明:基于改进的算法,可降低入侵检测的误报率,提高检测准确率。Based on biological Immune an improved dynamic clonal selection algorithm is proposed ,and a new intrusion detection model is established.The model has the advantage of diversity,self-adaptation and it’s ability of detecting the unknow attack behavior effectively. Simulation results indicate that the improved algorithm can obtain higher detection rate and lower false position rate.

关 键 词：入侵检测模型 生物免疫 动态克隆选择算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]